基于课堂行为分析的医学理论教学质量评估模型  

A medical theory teaching quality assessment model based on classroom behavior analysis

作　　者：刘玉川 易军 屈治华 王成敏 杨海波[2] Liu Yuchuan;Yi Jun;Qu Zhihua;Wang Chengmin;Yang Haibo(School of Computer Science and Engineering,Chongqing University of Science and Technology,Chongqing 401331,China;Department of Network Security and Operations Management,Information Center,Chongqing Medical University,Chongqing 400042,China)

机构地区：[1]重庆科技大学计算机科学与工程学院,重庆401331 [2]重庆医科大学信息中心网络安全与运维管理科,重庆400042

出　　处：《中华医学教育探索杂志》2025年第3期320-324,共5页Chinese Journal of Medical Education Research

基　　金：重庆市高等教育教学改革研究重点项目(232130);重庆市研究生教育教学改革研究重点项目(YJG232045);重庆科技大学本科教育教学改革研究项目(202373、202371、202269)。

摘　　要：目的针对现有的医学理论教学质量评估方法主观性强、实时性差等问题,探索一种客观且实时的医学理论教学质量评估方法。方法对《医学图像处理》课程进行教师与学生的课堂行为统计,采用链式智能体遗传算法结合支持向量回归机的方法对采得课堂行为数据进行分析,构建基于课堂行为的医学理论教学质量评估模型。结果构建模型的预测值与学生真实答题正确率之间误差较小(平均绝对误差为4.84%)且模型的时耗较低(平均建模时耗为8.63 s,平均预测时耗为21.00 ms)。结论所构建模型是一种拟合精度高、时耗性低的教学质量评估模型。Objective In response to the subjectivity and poor real-time performance in methods for evaluating the quality of medical theory teaching,this study aims to develop an objective and real-time evaluation method for medical theory teaching quality.Methods Classroom behavior data from both teachers and students in the course"medical image processing"were collected.An approach combining chain-like agent genetic algorithm with support vector regression machines was employed to analyze the collected classroom behavior data,and a classroom behavior-based evaluation model for medical theory teaching quality was established.Results The predicted value generated by the model showed minimal error compared to students'actual answer accuracy,with an average absolute error of 4.84%.Additionally,the model demonstrated low time computation,with an average modeling time of 8.63 seconds and an average prediction time of 21.00 milliseconds.Conclusions The constructed teaching quality assessment model shows high fitting precision and low time consumption.

关 键 词：教学质量评估 课堂行为分析 链式智能体遗传算法 支持向量回归机 

分 类 号：R-05[医药卫生]